ParaVision
by
Gary
Nutt,
Adam
J. Griff,
Jeff
McWhirter, and
Jim Mankovich
Abstract: Performance bugs have classically been difficult to identify
in high performance programs. The problem arises because there
is a broad spectrum of causes of performance degradation,
and because it may be necessary to apply specialized diagnostics to search the
performance space. The prototype
tuning environment we are developing enables one to
explore the performance space of a program using customized
performance visualization techniques. It addresses
the breadth problem by providing tools known to be useful
for broad explorations, tools for inspecting specific
performance bugs, and an ability to extend the observation
platform by custom analysis and visualization.
This paper describes the ParaVision tool that enables one
to integrate various PICL-based performance tools into a
single user environment.
Thank you for your interest in ParaVision, along with the other
visitors.
Adam Jonathan Griff, Ph.D.,
computer2@griffmonster.com
, +1(303)731-5140